[4525] Senior Data Engineer

Location: Brussels

Activity: Hybrid - 2/3 days on-site

Duration: 12 months + extensions

Education and professional background:

• Bachelor or Master Degree
• 5-7 years of experience as a data engineer or similar position
  
  
  

Languages:

• Fluent in either Dutch or French
• Fluent in English
  
  
  

Travels:

• Travel is not required structurally
• Occasional travel in the context of a project might be required
  
  
  

Context:

As Data engineer, you will be part of the B2B Supply Belgium business platform. The main focus is serving B2B customers in Belgium with power / gas, products and services, green energy. The business platform consists of approximately 180 people, from which 130 on business side and 50 on IS and DATA side.

Role:

We are seeking a skilled and experienced Data Engineer to join our Data Foundation team.You will be responsible for designing and implementing scalable, efficient, and robust data pipelines, Data Models, … to support our data-driven initiatives. Close collaboration with cross-functional teams, analysts, project managers is a must in order to ensure that data is available, accessible, and actionable.

Responsibilities:

• Design, implement, and maintain scalable data architectures, including databases, AWS data lakes, and data warehouses in line with the existing Engie tools and frameworks.
• Build and optimize ETL (Extract, Transform, Load) processes to move data from various sources to data repositories.
• Combine diverse data sources into cohesive, unified views (gold datasources) for analysis and reporting purposes.
• Ensure data consistency, accuracy, and quality throughout the data lifecycle.
• Manage and optimize the data infrastructure, including storage, processing, and retrieval systems in terms of efficiency, storage and costs.
• Collaborate with various teams to ensure the scalability, security, and performance of data systems.
• Develop and maintain code for data processing tasks using languages such as Python, Spark, SQL and ensure they are automated and run on a regular basis.
• Work closely with cross-functional teams, analysts, and software developers, to understand data requirements and deliver solutions.
• Collaborate with business stakeholders to gather and understand data-related requirements.
• Create and maintain comprehensive documentation for data processes, pipelines, and architectures.
• Ensure that data engineering best practices are followed.
• Share best practices with all data stakeholders, both IT and business.
• Must have:
• Proven experience as a Senior Data Engineer or in a similar role
• Proven experience on Data Platform Management
• Effective Experience with AWS services such as S3, Athena, Glue, Redshift
• Effective experience in Databricks (preferably on AWS)
• Strong programming skills in Python, Spark, SQL, or another data engineering language
• Experience with data processing technologies
• Knowledge of Agile processes (scrum, Kanban)
• Knowledge of DataIku
• Knowledge of Azure Devops & release Pipelines
• AWS certifications ( Cloud Data Engineer)
• Good to have:
• A first experience in utilities market is a plus
• Knowledge of technical systems like Salesforce, SAP ISU
• Knowledge of Agile tools like Azure Devops or Jira
• Familiar with financial closing reports
• AWS certifications ( Solution Architect, Systems Administrator)
  
  
  

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